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lab3/Part2_BiasAndUncertainty.ipynb

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"batch_size = 32\n",
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"\n",
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"# Get the training data: both images from CelebA and ImageNet\n",
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"path_to_training_data = tf.keras.utils.get_file('train_face_2023_perturbed_small.h5', 'https://www.dropbox.com/s/tbra3danrk5x8h5/train_face_2023_perturbed_small.h5?dl=0')\n",
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"path_to_training_data = tf.keras.utils.get_file('train_face_2023_perturbed_small.h5', 'https://www.dropbox.com/s/tbra3danrk5x8h5/train_face_2023_perturbed_small.h5?dl=1')\n",
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"# Instantiate a DatasetLoader using the downloaded dataset\n",
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"train_loader = mdl.lab3.DatasetLoader(path_to_training_data, training=True, batch_size=batch_size)\n",
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"test_loader = mdl.lab3.DatasetLoader(path_to_training_data, training=False, batch_size=batch_size)"

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